Sentence Similarity
sentence-transformers
Safetensors
qwen2
feature-extraction
Generated from Trainer
dataset_size:99000
loss:MultipleNegativesSymmetricRankingLoss
custom_code
text-embeddings-inference
Instructions to use FINGU-AI/Fingu-instruct-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FINGU-AI/Fingu-instruct-2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FINGU-AI/Fingu-instruct-2", trust_remote_code=True) sentences = [ "Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: Glay", "The Theory of Good and Evil is a 1907 book about ethics by the English philosopher Hastings Rashdall, in which the author expounds a theory he calls \"ideal utilitarianism\". It has been seen as Rashdall's most important philosophical work.", "GLAY is a Japanese rock band , formed in Hakodate in 1988 . Glay primarily composes songs in the rock and pop genres , but they have also arranged songs using elements from a wide variety of genres , including punk , electronic , R&B , progressive rock , folk , reggae , gospel , and ska . Originally a visual kei band , the group slowly shifted to less dramatic attire through the years . As of 2008 , Glay had sold an estimated 51 million records ; 28 million singles and 23 million albums , making them one of the top ten best-selling artists of all time in Japan .", "Aashirwad is a 1968 Bollywood film , directed by Hrishikesh Mukherjee . The film stars Ashok Kumar and Sanjeev Kumar . The film is notable for its inclusion of a rap-like song performed by Ashok Kumar , `` Rail Gaadi '' ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 1,384 Bytes
fa038e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"add_eos_token": true,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151645": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>"
],
"auto_map": {
"AutoTokenizer": [
"dunzhang/stella_en_1.5B_v5--tokenization_qwen.Qwen2Tokenizer",
"dunzhang/stella_en_1.5B_v5--tokenization_qwen.Qwen2TokenizerFast"
]
},
"bos_token": null,
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"model_max_length": 512,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}
|